| 2023 | AISTATS | Learning Treatment Effects from Observational and Experimental Data. | Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper |
| 2021 | AAAI | Learning Adjustment Sets from Observational and Limited Experimental Data. | Sofia Triantafillou, Gregory F. Cooper |
| 2021 | AMIA | Patient-Specific Modeling with Lazy Random Forest (LazyRF). | Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran |
| 2021 | KDD | Preface: The 2021 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafyllou, Elias Bareinboim, Huan Liu, Negar Kiyavash |
| 2021 | KDD | The KDD 2021 Workshop on Causal Discovery (CD2021). | Thuc Duy Le, Jiuyong Li, Gregory F. Cooper, Sofia Triantafillou, Elias Bareinboim, Huan Liu, Negar Kiyavash |
| 2021 | UAI | Causal and interventional Markov boundaries. | Sofia Triantafillou, Fattaneh Jabbari, Gregory F. Cooper |
| 2020 | AIME | Lung Cancer Survival Prediction Using Instance-Specific Bayesian Networks. | Fattaneh Jabbari, Liza C. Villaruz, Mike Davis, Gregory F. Cooper |
| 2020 | AMIA | Patient-Specific Modeling with Personalized Decision Paths. | Adriana Johnson, Gregory F. Cooper, Shyam Visweswaran |
| 2020 | KDD | Learning Latent Causal Structures with a Redundant Input Neural Network. | Jonathan D. Young, Bryan Andrews, Gregory F. Cooper, Xinghua Lu |
| 2020 | SDM | An Instance-Specific Algorithm for Learning the Structure of Causal Bayesian Networks Containing Latent Variables. | Fattaneh Jabbari, Gregory F. Cooper |
| 2019 | AMIA | Insights from a dissertation on the development of a Learning Electronic Medical Record System: data-driven, context-aware learning. | Andrew J. King, Shyam Visweswaran, Harry Hochheiser, Gilles Clermont, Gregory F. Cooper |
| 2019 | KDD | Learning High-dimensional Directed Acyclic Graphs with Mixed Data-types. | Bryan Andrews, Joseph D. Ramsey, Gregory F. Cooper |
| 2018 | AMIA | Design of a Learning Electronic Medical Record: A Qualitative Study of ICU Clinicians' Information Needs and Practices. | Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser |
| 2018 | AMIA | Using Machine Learning to Predict the Information Seeking Behavior of Clinicians Using an Electronic Medical Record System. | Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Milos Hauskrecht, Shyam Visweswaran |
| 2017 | AMIA | Exploring Novel Graphical Representations of Clinical Data in a Learning EMR. | Luca Calzoni, Gilles Clermont, Gregory F. Cooper, Shyam Visweswaran, Harry Hochheiser |
| 2016 | ICDM | Binary Classifier Calibration Using an Ensemble of Near Isotonic Regression Models. | Mahdi Pakdaman Naeini, Gregory F. Cooper |
| 2016 | SDM | Binary Classifier Calibration Using an Ensemble of Linear Trend Estimation. | Mahdi Pakdaman Naeini, Gregory F. Cooper |
| 2015 | AAAI | Obtaining Well Calibrated Probabilities Using Bayesian Binning. | Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht |
| 2015 | AMIA | Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System. | Andrew J. King, Gregory F. Cooper, Harry Hochheiser, Gilles Clermont, Shyam Visweswaran |
| 2015 | IDA | A Bayesian Approach for Identifying Multivariate Differences Between Groups. | Yuriy Sverchkov, Gregory F. Cooper |
| 2015 | SDM | Binary Classifier Calibration Using a Bayesian Non-Parametric Approach. | Mahdi Pakdaman Naeini, Gregory F. Cooper, Milos Hauskrecht |
| 2014 | AMIA | Application of Bayesian Logistic Regression to Mining Biomedical Data. | Viji R. Avali, Gregory F. Cooper, Vanathi Gopalakrishnan |
| 2013 | AAAI | Conditional Outlier Approach for Detection of Unusual Patient Care Actions. | Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont |
| 2013 | AMIA | Decision Path Models for Patient-Specific Modeling of Patient Outcomes. | Antonio Luiz S. Ferreira, Gregory F. Cooper, Shyam Visweswaran |
| 2013 | AMIA | Data-driven identification of unusual clinical actions in the ICU. | Milos Hauskrecht, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont |
| 2012 | ICDE | A Decision-Theoretic Model of Disease Surveillance and Control and a Prototype Implementation for the Disease Influenza. | Michael M. Wagner, Gregory F. Cooper, Fu-Chiang Tsui, Jeremy U. Espino, Hendrik Harkema, John D. Levander, Ricardo Villamarn-Salomn, Nicholas Millett, Shawn T. Brown, Anthony Gallaggher |
| 2011 | ICDM | Conditional Anomaly Detection with Soft Harmonic Functions. | Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory F. Cooper, Milos Hauskrecht |
| 2009 | AMIA | Generalized AMOC Curves For Evaluation and Improvement of Event Surveillance. | Xia Jiang, Gregory F. Cooper, Daniel B. Neill |
| 2009 | AMIA | Bayesian Modeling of Unknown Diseases for Biosurveillance. | Yanna Shen, Gregory F. Cooper |
| 2008 | AMIA | Analysis of a Failed Clinical Decision Support System for Management of Congestive Heart Failure. | Rajiv Wadhwa, Douglas B. Fridsma, Melissa I. Saul, Louis E. Penrod, Shyam Visweswaran, Gregory F. Cooper, Wendy W. Chapman |
| 2008 | ECAI | Hierarchical explanation of inference in Bayesian networks that represent a population of independent agents. | Peter Sutovsk, Gregory F. Cooper |
| 2007 | AMIA | Evidence-based Anomaly Detection in Clinical Domains. | Milos Hauskrecht, Michal Valko, Branislav Kveton, Shyam Visweswaran, Gregory F. Cooper |
| 2007 | AMIA | A Recursive Algorithm for Spatial Cluster Detection. | Xia Jiang, Gregory F. Cooper |
| 2006 | UAI | A Theoretical Study of Y Structures for Causal Discovery. | Subramani Mani, Gregory F. Cooper, Peter Spirtes |
| 2005 | AMIA | Deriving the Expected Utility of a Predictive Model When the Utilities Are Uncertain. | Gregory F. Cooper, Shyam Visweswaran |
| 2005 | AMIA | A Software Tool to Assist Researchers in Coding Free Text Clinical Reports. | Manoj Ramachandran, Gregory F. Cooper, Wendy W. Chapman, John N. Dowling |
| 2005 | AMIA | Patient-Specific Models for Predicting the Outcomes of Patients with Community Acquired Pneumonia. | Shyam Visweswaran, Gregory F. Cooper |
| 2004 | UAI | Bayesian Biosurveillance of Disease Outbreaks. | Gregory F. Cooper, Denver Dash, John D. Levander, Weng-Keen Wong, William R. Hogan, Michael M. Wagner |
| 2003 | AISTATS | Model Averaging with Bayesian Network Classifiers. | Denver Dash, Gregory F. Cooper |
| 2003 | AMIA | Detecting Adverse Drug Events in Discharge Summaries Using Variations on the Simple Bayes Model. | Shyam Visweswaran, Paul Hanbury, Melissa I. Saul, Gregory F. Cooper |
| 2003 | AMIA | A Computer-Based Microarray Experiment Design-System for Gene-Regulation Pathway Discovery. | Changwon Yoo, Gregory F. Cooper |
| 2003 | ICML | Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. | Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner |
| 2002 | AAAI | Rule-Based Anomaly Pattern Detection for Detecting Disease Outbreaks. | Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner |
| 2002 | AMIA | Creating a Software Tool for the Clinical Researcher - the IPS System. | Bruce G. Buchanan, Wendy W. Chapman, Gregory F. Cooper, Paul Hanbury, Mehmet Kayaalp, Manoj Ramachandran, Melissa I. Saul |
| 2002 | AMIA | Discovery of gene-regulation pathways using local causal search. | Changwon Yoo, Gregory F. Cooper |
| 2002 | ICML | Exact model averaging with naive Bayesian classifiers. | Denver Dash, Gregory F. Cooper |
| 2002 | PSB | Discovery of Causal Relationships in a Gene-Regulation Pathway from a Mixture of Experimental and Observational DNA Microarray Data. | Changwon Yoo, Vesteinn Thorsson, Gregory F. Cooper |
| 2002 | UAI | A Bayesian Network Scoring Metic that Is Based on Globally Uniform Parameter Priors. | Mehmet Kayaalp, Gregory F. Cooper |
| 2001 | AISTATS | Predicting with Variables Constructed from Temporal Sequences. | Mehmet Kayaalp, Gregory F. Cooper, Gilles Clermont |
| 2001 | AISTATS | A Simulation Study of Three Related Causal Data Mining Algorithms. | Subramani Mani, Gregory F. Cooper |
| 2001 | AISTATS | Piecewise Linear Instrumental Variable Estimation of Causal Influence. | Richard Scheines, Gregory F. Cooper, Changwon Yoo, Tianjiao Chu |
| 2001 | AMIA | Evaluation of negation phrases in narrative clinical reports. | Wendy W. Chapman, Will Bridewell, Paul Hanbury, Gregory F. Cooper, Bruce G. Buchanan |
| 2001 | AMIA | IPS: A System That Uses Machine Learning to Help Locate Patient Records for Clinical Research. | Gregory F. Cooper, Bruce G. Buchanan, Wendy W. Chapman, Paul Hanbury, Mehmet Kayaalp, Melissa I. Saul |
| 2000 | AMIA | A Retrospective Study of the Effect of a Prognostic Model on the Hospital Admission Decision for Patients with Low Risk Community-acquired Pneumonia. | John M. Aronis, Gregory F. Cooper, Michael J. Fine |
| 2000 | AMIA | Predicting ICU mortality: a comparison of stationary and nonstationary temporal models. | Mehmet Kayaalp, Gregory F. Cooper, Gilles Clermont |
| 2000 | AMIA | Causal discovery from medical textual data. | Subramani Mani, Gregory F. Cooper |
| 2000 | UAI | A Bayesian Method for Causal Modeling and Discovery Under Selection. | Gregory F. Cooper |
| 1999 | AAAI | Causal Discovery from Population-Based Infant Birth and Death Records. | Subramani Mani, Gregory F. Cooper |
| 1999 | AISTATS | A latent variable model for multivariate discretization. | Stefano Monti, Gregory F. Cooper |
| 1999 | AISTATS | An experiment in causal discovery using a pneumona database. | Peter Spirtes, Gregory F. Cooper |
| 1999 | AMIA | Identifying patient subgroups with simple Bayes'. | John M. Aronis, Gregory F. Cooper, Mehmet Kayaalp, Bruce G. Buchanan |
| 1999 | AMIA | A study in causal discovery from population-based infant birth and death records. | Subramani Mani, Gregory F. Cooper |
| 1999 | UAI | Causal Discovery from a Mixture of Experimental and Observational Data. | Gregory F. Cooper, Changwon Yoo |
| 1999 | UAI | A Bayesian Network Classifier that Combines a Finite Mixture Model and a NaIve Bayes Model. | Stefano Monti, Gregory F. Cooper |
| 1998 | AMIA | Temporal representation design principles: an assessment in the domain of liver transplantation. | Constantin F. Aliferis, Gregory F. Cooper |
| 1998 | AMIA | Using computer modeling to help identify patient subgroups in clinical data repositories. | Gregory F. Cooper, Bruce G. Buchanan, Mehmet Kayaalp, Melissa I. Saul, John K. Vries |
| 1998 | AMIA | The impact of modeling the dependencies among patient findings on classification accuracy and calibration. | Stefano Monti, Gregory F. Cooper |
| 1998 | UAI | A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data. | Stefano Monti, Gregory F. Cooper |
| 1996 | UAI | A Structurally and Temporally Extended Bayesian Belief Network Model: Definitions, Properties, and Modeling Techniques. | Constantin F. Aliferis, Gregory F. Cooper |
| 1994 | UAI | An Evaluation of an Algorithm for Inductive Learning of Bayesian Belief Networks Using Simulated Data Sets. | Constantin F. Aliferis, Gregory F. Cooper |
| 1991 | UAI | A Bayesian Method for Constructing Bayesian Belief Networks from Databases. | Gregory F. Cooper, Edward Herskovits |
| 1990 | UAI | an entropy-driven system for construction of probabilistic expert systems from databases. | Edward Herskovits, Gregory F. Cooper |
| 1990 | UAI | A combination of cutset conditioning with clique-tree propagation in the Pathfinder system. | Henri Jacques Suermondt, Gregory F. Cooper, David Heckerman |
| 1989 | AIME | The ALARM Monitoring System: A Case Study with two Probabilistic Inference Techniques for Belief Networks. | Ingo A. Beinlich, Henri Jacques Suermondt, R. Martin Chavez, Gregory F. Cooper |
| 1989 | IJCAI | Reflection and Action Under Scarce Resources: Theoretical Principles and Empirical Study. | Eric Horvitz, Gregory F. Cooper, David Heckerman |
| 1989 | UAI | An Empirical Evaluation of a Randomized Algorithm for Probabilistic Inference. | R. Martin Chavez, Gregory F. Cooper |
| 1988 | UAI | KNET: integrating hypermedia and normative bayesian modeling. | R. Martin Chavez, Gregory F. Cooper |
| 1987 | UAI | Bayesian Belief Network Inference Using Simulation. | Homer L. Chin, Gregory F. Cooper |
| 1987 | UAI | An Algorithm for Computing Probabilistic Propositions. | Gregory F. Cooper |